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The Role of Users’ Demographic and Social Attributes for Accepting Biometric Systems: A Greek Case Study

Author

Listed:
  • Angeliki Kitsiou

    (Privacy Engineering and Social Informatics Laboratory, Department of Cultural Technology and Communication, University of the Aegean, GR 81100 Lesvos, Greece)

  • Charikleia Despotidi

    (Privacy Engineering and Social Informatics Laboratory, Department of Cultural Technology and Communication, University of the Aegean, GR 81100 Lesvos, Greece)

  • Christos Kalloniatis

    (Privacy Engineering and Social Informatics Laboratory, Department of Cultural Technology and Communication, University of the Aegean, GR 81100 Lesvos, Greece)

  • Stefanos Gritzalis

    (Laboratory of Systems Security, Department of Digital Systems, University of Piraeus, GR 18532 Piraeus, Greece)

Abstract

Even though both internet-of-cloud services and biometric systems (BSs) are used worldwide, popular and expanded among public and private services, their utilization has not been extended among Greek users, and in particular within Greek HEIs. This paper aims to examine the University of the Aegean (UA) students’ perceptions, especially on BS acceptance, determining the impact of their sociodemographic characteristics toward this. An online instrument was developed based on constructs of technology acceptance models, and previous research focused on BS acceptance, including a great variety of sociodemographic variables. The authors collected 768 complete responses to explore the social and demographic attributes that impact on students’ BS acceptance through exploratory descriptive research. This study found that several UA students’ sociodemographic attributes are linked to their BS acceptance. Specifically, gender, age, study level, year of study, professional profile and fathers’ occupation are useful to determine which students’ groups are in favor of BS, while employment status, annual income and mothers’ occupation are weak toward this. Security and privacy concerns are indicated to influence users’ BS acceptance as well. This study provides a unique approach to better understanding the Greek students’ BS acceptance, with important implications for improved BS marketing in Greece in synergy with the internet-of-cloud services and their potential adoption in HEIs internal settings. It also provides developers with further knowledge for security and privacy non-functional requirements in order to increase users’ acceptance and to address these challenges within the internet of cloud.

Suggested Citation

  • Angeliki Kitsiou & Charikleia Despotidi & Christos Kalloniatis & Stefanos Gritzalis, 2022. "The Role of Users’ Demographic and Social Attributes for Accepting Biometric Systems: A Greek Case Study," Future Internet, MDPI, vol. 14(11), pages 1-31, November.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:11:p:328-:d:971250
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    References listed on IDEAS

    as
    1. Angeliki Kitsiou & Eleni Tzortzaki & Christos Kalloniatis & Stefanos Gritzalis, 2021. "Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social Networks," Future Internet, MDPI, vol. 13(2), pages 1-25, January.
    2. Katerina Vgena & Angeliki Kitsiou & Christos Kalloniatis & Dimitris Kavroudakis & Stefanos Gritzalis, 2019. "Toward Addressing Location Privacy Issues: New Affiliations with Social and Location Attributes," Future Internet, MDPI, vol. 11(11), pages 1-20, November.
    3. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    4. Katerina Vgena & Angeliki Kitsiou & Christos Kalloniatis & Stefanos Gritzalis, 2022. "Determining the Role of Social Identity Attributes to the Protection of Users’ Privacy in Social Media," Future Internet, MDPI, vol. 14(9), pages 1-18, August.
    5. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
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